Natascha D. Wagner

815 total citations
28 papers, 490 citations indexed

About

Natascha D. Wagner is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Natascha D. Wagner has authored 28 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Agronomy and Crop Science. Recurrent topics in Natascha D. Wagner's work include Bioenergy crop production and management (11 papers), Genetic diversity and population structure (8 papers) and Yeasts and Rust Fungi Studies (7 papers). Natascha D. Wagner is often cited by papers focused on Bioenergy crop production and management (11 papers), Genetic diversity and population structure (8 papers) and Yeasts and Rust Fungi Studies (7 papers). Natascha D. Wagner collaborates with scholars based in Germany, China and United States. Natascha D. Wagner's co-authors include Elvira Hörandl, Li He, Kurt Weising, Salvatore Tomasello, Martin Volf, Kevin Karbstein, Ladislav Hodač, Katharina Nargar, Kai‐Hua Jia and Rengang Zhang and has published in prestigious journals such as Trends in Ecology & Evolution, New Phytologist and The Plant Journal.

In The Last Decade

Natascha D. Wagner

25 papers receiving 478 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Natascha D. Wagner Germany 14 265 191 176 152 105 28 490
Dechun Jiang China 11 116 0.4× 184 1.0× 147 0.8× 190 1.3× 47 0.4× 34 454
T. M. Hardig United States 8 246 0.9× 138 0.7× 190 1.1× 95 0.6× 45 0.4× 11 396
Stacey Lee Thompson Canada 10 136 0.5× 109 0.6× 124 0.7× 128 0.8× 50 0.5× 14 350
Nicholas D. Levsen United States 8 159 0.6× 138 0.7× 149 0.8× 215 1.4× 31 0.3× 10 432
Camille Christe Switzerland 10 201 0.8× 184 1.0× 149 0.8× 210 1.4× 25 0.2× 17 419
Sean V. Burke United States 14 469 1.8× 356 1.9× 230 1.3× 127 0.8× 24 0.2× 20 614
Marianick Juin France 9 133 0.5× 57 0.3× 150 0.9× 120 0.8× 26 0.2× 14 309
Sarah B. Yakimowski Canada 10 321 1.2× 139 0.7× 239 1.4× 215 1.4× 13 0.1× 15 548
Jin Pan China 11 67 0.3× 117 0.6× 161 0.9× 231 1.5× 23 0.2× 14 381
A. Hempel United States 4 157 0.6× 77 0.4× 152 0.9× 153 1.0× 22 0.2× 5 365

Countries citing papers authored by Natascha D. Wagner

Since Specialization
Citations

This map shows the geographic impact of Natascha D. Wagner's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Natascha D. Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natascha D. Wagner more than expected).

Fields of papers citing papers by Natascha D. Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natascha D. Wagner. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Natascha D. Wagner. The network helps show where Natascha D. Wagner may publish in the future.

Co-authorship network of co-authors of Natascha D. Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Natascha D. Wagner. A scholar is included among the top collaborators of Natascha D. Wagner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Natascha D. Wagner. Natascha D. Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Šebek, Pavel, Petr Koutecký, Jaroslav Kukla, et al.. (2025). Effects of hybridization on chemical diversity and plant–insect herbivore interactions in Salix alba×fragilis. Journal of Experimental Botany. 76(22). 6974–6986.
2.
3.
Karbstein, Kevin, Ting Xie, Salvatore Tomasello, et al.. (2025). Assembling genomes of non‐model plants: A case study with evolutionary insights from Ranunculus (Ranunculaceae). The Plant Journal. 123(6). e70390–e70390. 1 indexed citations
4.
Kosiński, Piotr, et al.. (2025). Hybrid zones in the European Alps impact the phylogeography of alpine vicariant willow species (Salix L.). Frontiers in Plant Science. 16. 1507275–1507275. 1 indexed citations
5.
Wagner, Natascha D., et al.. (2025). Rapid loss of plastid ndh genes in slipper orchids (Cypripedioideae, Orchidaceae). Frontiers in Plant Science. 16. 1507415–1507415.
6.
Karbstein, Kevin, Ladislav Hodač, Martin Hofmann, et al.. (2024). Species delimitation 4.0: integrative taxonomy meets artificial intelligence. Trends in Ecology & Evolution. 39(8). 771–784. 39 indexed citations
7.
Léveillé‐Bourret, Étienne, et al.. (2024). Challenge accepted: Evolutionary lineages versus taxonomic classification of North American shrub willows (Salix). American Journal of Botany. 111(7). e16361–e16361. 3 indexed citations
8.
Ferreira, Paola de Lima, Natascha D. Wagner, Jeannine Cavender‐Bares, et al.. (2024). Phylogenetic insights into the Salicaceae: The evolution of willows and beyond. Molecular Phylogenetics and Evolution. 199. 108161–108161. 5 indexed citations
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10.
Michell, Craig, Natascha D. Wagner, Marko Mutanen, Kyung Min Lee, & Tommi Nyman. (2023). Genomic evidence for contrasting patterns of host‐associated genetic differentiation across shared host‐plant species in leaf‐ and bud‐galling sawflies. Molecular Ecology. 32(7). 1791–1809. 1 indexed citations
11.
Wagner, Natascha D., et al.. (2023). Evolution of a hybrid zone of two willow species (SalixL.) in the European Alps analyzed by RAD‐seq and morphometrics. Ecology and Evolution. 13(1). e9700–e9700. 12 indexed citations
12.
He, Li, Chunlan Lian, Yuan Wang, et al.. (2023). Evolutionary origin and establishment of a dioecious diploid‐tetraploid complex. Molecular Ecology. 32(11). 2732–2749. 10 indexed citations
13.
Volf, Martin, et al.. (2022). Abiotic stress rather than biotic interactions drives contrasting trends in chemical richness and variation in alpine willows. Functional Ecology. 36(11). 2701–2712. 17 indexed citations
14.
He, Li, Kai‐Hua Jia, Rengang Zhang, et al.. (2021). Chromosome‐scale assembly of the genome of Salix dunnii reveals a male‐heterogametic sex determination system on chromosome 7. Molecular Ecology Resources. 21(6). 1966–1982. 37 indexed citations
15.
Wagner, Natascha D., et al.. (2021). Conservation in the face of hybridisation: genome-wide study to evaluate taxonomic delimitation and conservation status of a threatened orchid species. Conservation Genetics. 22(1). 151–168. 8 indexed citations
16.
Wagner, Natascha D., Martin Volf, & Elvira Hörandl. (2021). Highly Diverse Shrub Willows (Salix L.) Share Highly Similar Plastomes. Frontiers in Plant Science. 12. 662715–662715. 20 indexed citations
17.
Wagner, Natascha D., Li He, & Elvira Hörandl. (2021). The Evolutionary History, Diversity, and Ecology of Willows (Salix L.) in the European Alps. Diversity. 13(4). 146–146. 25 indexed citations
18.
He, Li, Natascha D. Wagner, & Elvira Hörandl. (2020). Restriction‐site associated DNA sequencing data reveal a radiation of willow species ( Salix L., Salicaceae) in the Hengduan Mountains and adjacent areas. Journal of Systematics and Evolution. 59(1). 44–57. 32 indexed citations
19.
Wagner, Natascha D., et al.. (2018). RAD-seq reveals genetic structure of the F2-generation of natural willow hybrids (Salix L.) and a great potential for interspecific introgression. BMC Plant Biology. 18(1). 317–317. 38 indexed citations
20.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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